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/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <ATen/ATen.h>
#include <c10/cuda/CUDAStream.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <algorithm>
#include <functional>
#include <iostream>
#include <stdexcept>
#include <utility>
#include <vector>
#include <stdlib.h>
#include <assert.h>
#define SHFL_MASK 0xffffffff
template<int FS, int SB, int padding_l, typename scalar_t>
__global__
void lightconv_forward_kernel(const scalar_t* input,
const scalar_t* filters,
int minibatch, int sequenceLength,
int numFeatures, int numFiltersInBlock,
scalar_t* output);
template<int FS, int SB, int padding_l, typename scalar_t>
__global__
void lightconv_grad_wrt_input_kernel(
const scalar_t* input,
const scalar_t* filters,
int minibatch,
int sequenceLength,
int numFeatures,
int numFiltersInBlock,
scalar_t* output);
template<int FS, int SB, int padding_l, typename scalar_t>
__global__
void lightconv_grad_wrt_weights_firstpass_short_kernel(
const scalar_t* input,
const scalar_t* gradInput,
int minibatch,
int sequenceLength,
int numFeatures,
int numFiltersInBlock,
int numHeads,
float* output);
template<int FS, int SB, typename scalar_t>
__global__
void lightconv_grad_wrt_weights_secondpass_short_kernel(
const float* input,
const int minibatch,
const int numFiltersInBlock,
scalar_t* output);
template<int FS, int SB, int padding_l, typename scalar_t>
__global__
void lightconv_grad_wrt_weights_firstpass_kernel(
const scalar_t* input,
const scalar_t* gradInput,
int minibatch,
int sequenceLength,
int numFeatures,
int numFiltersInBlock,
float* output);
template<int FS, int SB, typename scalar_t>
__global__
void lightconv_grad_wrt_weights_secondpass_kernel(
const float* input,
const int minibatch,
const int numFiltersInBlock,
scalar_t* output);
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